Rail Asset Analytics Engineer

Land Transport Authority (LTA) Singapore

Singapore

On-site

SGD 120,000 - 180,000

Full time

27 hours ago
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Job summary

Land Transport Authority (LTA) Singapore is seeking a Data Scientist / Data Analytics Engineer focused on Asset Management. You will design data pipelines and analytics solutions to support asset performance across rail assets, collaborating with rail operators and manufacturers to drive data-driven decisions.

Responsibilities include data engineering, analytics, and dashboard development, with emphasis on data quality and scalable data models.

Qualifications

  • Experience in data engineering and analytics for asset management or rail domain is preferred.
  • Strong programming and data modelling skills.
  • Ability to translate stakeholder requirements into technical specs.

Responsibilities

  • Design, build, and maintain data pipelines for asset-related data.
  • Ensure data quality, integrity, and accessible analytics data assets.
  • Collaborate with stakeholders to define data requirements and analytics deliverables.
  • Conduct data analysis to identify trends and insights informing asset management decisions.
  • Develop data models and analytics frameworks to support business goals.
  • Create dashboards and visualisations to communicate asset performance metrics.
  • Manage data storage solutions and ensure efficient data retrieval and analysis.
  • Document data engineering processes and analytics workflows.

Skills

Python
SQL
Data analysis
Communication

Tools

Tableau
Power BI
LLM
ML models
ETL tools

Job description

Land Transport Authority (LTA) Singapore is seeking a Data Scientist / Data Analytics Engineer focused on Asset Management. You will design data pipelines and analytics solutions to support asset performance across rail assets, collaborating with rail operators and manufacturers to drive data-driven decisions.

Responsibilities include data engineering, analytics, and dashboard development, with emphasis on data quality and scalable data models.

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